Cascade of Boolean detector combinations
Mahkonen,Katariina; Virtanen,Tuomas; Kämäräinen,Joni (2018-12)
12 / 2018
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited
Julkaisun pysyvä osoite on
This paper considers a scenario when we have multiple pre-trained detectors for detecting an event and a small dataset for training a combined detection system. We build the combined detector as a Boolean function of thresholded detector scores and implement it as a binary classification cascade. The cascade structure is computationally efficient by providing the possibility to early termination. For the proposed Boolean combination function, the computational load of classification is reduced whenever the function becomes determinate before all the component detectors have been utilized. We also propose an algorithm, which selects all the needed thresholds for the component detectors within the proposed Boolean combination. We present results on two audio-visual datasets, which prove the efficiency of the proposed combination framework. We achieve state-of-the-art accuracy with substantially reduced computation time in laughter detection task, and our algorithm finds better thresholds for the component detectors within the Boolean combination than the other algorithms found in the literature.
- TUNICRIS-julkaisut 
Näytetään aineisto, joilla on samankaltaisia nimekkeitä, tekijöitä tai asiasanoja.
Smirnov,Sergey; Gotchev,Atanas; Hannuksela,Miska
IEEE International Conference on Multimedia and Expo (2013)
Joint de-noising and fusion of 2D video and depth map sequences sensed by low-powered tof range sensor Georgiev,Mihail; Gotchev,Atanas; Hannuksela,Miska
IEEE International Conference on Multimedia and Expo (Institute of Electrical and Electronics Engineers IEEE, 2013)
Georgiev,Mihail; Gotchev,Atanas; Hannuksela,Miska
IEEE International Symposium on Circuits and Systems (Institute of Electrical and Electronics Engineers IEEE, 2013)